Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results
Authors
Keywords
-
Journal
EXPERT SYSTEMS
Volume -, Issue -, Pages e12553
Publisher
Wiley
Online
2020-04-04
DOI
10.1111/exsy.12553
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Feature Selection Method Based on Partial Least Squares and Analysis of Traditional Chinese Medicine Data
- (2019) Canyi Huang et al. Computational and Mathematical Methods in Medicine
- A review of feature selection methods in medical applications
- (2019) Beatriz Remeseiro et al. COMPUTERS IN BIOLOGY AND MEDICINE
- On developing an automatic threshold applied to feature selection ensembles
- (2018) B. Seijo-Pardo et al. Information Fusion
- Feature Selection by Maximizing Independent Classification Information
- (2017) Jun Wang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Ensemble feature selection using bi-objective genetic algorithm
- (2017) Asit K Das et al. KNOWLEDGE-BASED SYSTEMS
- Ensemble feature selection: Homogeneous and heterogeneous approaches
- (2017) B. Seijo-Pardo et al. KNOWLEDGE-BASED SYSTEMS
- Subspace clustering guided unsupervised feature selection
- (2017) Pengfei Zhu et al. PATTERN RECOGNITION
- Optimization approach for feature selection in multi-label classification
- (2017) Hyunki Lim et al. PATTERN RECOGNITION LETTERS
- SVM and SVM Ensembles in Breast Cancer Prediction
- (2017) Min-Wei Huang et al. PLoS One
- Learning Proximity Relations for Feature Selection
- (2016) Taiping Zhang et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Dimensionality Reduction in Complex Medical Data: Improved Self-Adaptive Niche Genetic Algorithm
- (2015) Min Zhu et al. Computational and Mathematical Methods in Medicine
- LTE radio analytics made easy and accessible
- (2015) Swarun Kumar et al. ACM SIGCOMM Computer Communication Review
- A Review of Ensemble Learning Based Feature Selection
- (2014) Donghai Guan et al. IETE TECHNICAL REVIEW
- Feature selection using Principal Component Analysis for massive retweet detection
- (2014) Mohamed Morchid et al. PATTERN RECOGNITION LETTERS
- Two-stage extreme learning machine for high-dimensional data
- (2014) Peng Liu et al. International Journal of Machine Learning and Cybernetics
- A survey on feature selection methods
- (2013) Girish Chandrashekar et al. COMPUTERS & ELECTRICAL ENGINEERING
- Feature selection for medical diagnosis : Evaluation for cardiovascular diseases
- (2013) Swati Shilaskar et al. EXPERT SYSTEMS WITH APPLICATIONS
- A review of feature selection methods on synthetic data
- (2012) Verónica Bolón-Canedo et al. KNOWLEDGE AND INFORMATION SYSTEMS
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches
- (2010) Chih-Fong Tsai et al. DECISION SUPPORT SYSTEMS
- Support vector machines in remote sensing: A review
- (2010) Giorgos Mountrakis et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now